嫦娥五号月面上升和下降段实时轨道确定

Real-time orbit determination of the ascending and descending process of CE-5

针对月球探测中月面上升和下降段的实时轨道确定问题,提出基于三向测量的实时自适应当前统计方法。首先,通过自适应当前统计模型描述探测器月面上升下降过程,其次,综合利用三向数据进行测量更新,最后,通过UKF滤波算法完成实时轨道确定。由于自适应当前统计模型具有良好的适应性,该方法能对探测器月面上升和下降段进行有效定位,通过嫦娥五号探测器实际上升和下降过程数据进行测试,结果表明,文章提出的基于三向测量的实时自适应当前统计方法比传统的几何定位方法具有更好的抗差性,对深空目标探测具有一定的工程应用价值。

A real-time adaptive“current”statistical method based on three-way measurement was proposed to solve the problem of real-time orbit determination in the process of lunar surface ascending and descending.First,an adaptive current statistical model was used to describe the landing and sampling return process of the lunar process.Second,the method made full use of the measured data which include three-way measurement to update the estimated trajectory.And at last,unscented Kalman filter(UKF)method was used to complete real-time orbit determination.As the adaptive“current”statistical model is very suitable for the complicated trajectory,which includes landing and sampling return,it can solve the orbit determination problem effectively.By processing the measured data of CE-5 lunar process,it shows that this method is more stable and convergent than the traditional method,and has certain application value to deep space target detection.